Literature DB >> 10363337

Accrual strategies for phase I trials with delayed patient outcome.

P F Thall1, J J Lee, C H Tseng, E H Estey.   

Abstract

Phase I dose-finding trials typically are conducted using adaptive rules that select dose levels for successive patient cohorts based on the outcomes of patients treated previously in the trial. When patient outcome cannot be observed immediately after treatment, the problem arises of how to deal with new patients while waiting to observe the current patient cohort's outcomes. We consider two alternative approaches to this problem in the context of a phase I trial conducted using the continual reassessment method. With the first approach, a patient requiring treatment before the next cohort opens is treated off protocol with standard therapy, and otherwise waits until the next cohort opens. The second approach treats each patient immediately upon arrival at the dose recommended based on currently available data. We compare these two approaches by simulation under varying dose--toxicity curves, accrual rates, cohort sizes and early stopping rules. We evaluate patient waiting time, trial duration, number of patients treated off protocol and the probabilities of toxicity and of selecting the correct dose. We also study three strategies for assigning patients to trials when two or more phase I trials may be ongoing simultaneously. Based on our results, we provide practical guidelines for deciding among these approaches and strategies in a given clinical setting.

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Year:  1999        PMID: 10363337     DOI: 10.1002/(sici)1097-0258(19990530)18:10<1155::aid-sim114>3.0.co;2-h

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  10 in total

1.  A new statistical method for dose-finding based on efficacy and toxicity in early phase clinical trials.

Authors:  P F Thall; E H Estey; H G Sung
Journal:  Invest New Drugs       Date:  1999       Impact factor: 3.850

Review 2.  Adaptive dose-finding studies: a review of model-guided phase I clinical trials.

Authors:  Alexia Iasonos; John O'Quigley
Journal:  J Clin Oncol       Date:  2014-06-30       Impact factor: 44.544

3.  Discussion on "A Hybrid Selection and Testing Procedure with Curtailment for Comparative Clinical Trials" by Elena M. Buzaianu and Pinyuen Chen.

Authors:  Peter F Thall
Journal:  Seq Anal       Date:  2009-01-01       Impact factor: 0.927

4.  Continual reassessment and related designs in dose-finding studies.

Authors:  Alexia Iasonos; John O'Quigley
Journal:  Stat Med       Date:  2011-02-24       Impact factor: 2.373

5.  Bayesian Models and Decision Algorithms for Complex Early Phase Clinical Trials.

Authors:  Peter F Thall
Journal:  Stat Sci       Date:  2010-05       Impact factor: 2.901

6.  Using Data Augmentation to Facilitate Conduct of Phase I-II Clinical Trials with Delayed Outcomes.

Authors:  Ick Hoon Jin; Suyu Liu; Peter F Thall; Ying Yuan
Journal:  J Am Stat Assoc       Date:  2014       Impact factor: 5.033

7.  Adaptive phase I study of OROS methylphenidate treatment of attention deficit hyperactivity disorder with epilepsy.

Authors:  Joseph Gonzalez-Heydrich; Jane Whitney; Deborah Waber; Peter Forbes; Olivia Hsin; Stephen V Faraone; Alice Dodds; Sneha Rao; Christine Mrakotsky; Carlene Macmillan; David R Demaso; Carl de Moor; Alcy Torres; Blaise Bourgeois; Joseph Biederman
Journal:  Epilepsy Behav       Date:  2010-05-21       Impact factor: 2.937

8.  Continual reassessment method vs. traditional empirically based design: modifications motivated by Phase I trials in pediatric oncology by the Pediatric Brain Tumor Consortium.

Authors:  Arzu Onar; Mehmet Kocak; James M Boyett
Journal:  J Biopharm Stat       Date:  2009       Impact factor: 1.051

9.  A Bayesian adaptive Phase I-II clinical trial for evaluating efficacy and toxicity with delayed outcomes.

Authors:  Joseph S Koopmeiners; Jaime Modiano
Journal:  Clin Trials       Date:  2013-09-30       Impact factor: 2.486

10.  Monitoring late-onset toxicities in phase I trials using predicted risks.

Authors:  B Nebiyou Bekele; Yuan Ji; Yu Shen; Peter F Thall
Journal:  Biostatistics       Date:  2007-12-14       Impact factor: 5.899

  10 in total

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